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2003.05689
Cited By
Hyper-Parameter Optimization: A Review of Algorithms and Applications
12 March 2020
Tong Yu
Hong Zhu
AAML
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Papers citing
"Hyper-Parameter Optimization: A Review of Algorithms and Applications"
13 / 63 papers shown
Title
Freeze-Thaw Bayesian Optimization
Kevin Swersky
Jasper Snoek
Ryan P. Adams
77
269
0
16 Jun 2014
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
José Miguel Hernández-Lobato
Matthew W. Hoffman
Zoubin Ghahramani
96
647
0
10 Jun 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition
A. Razavian
Hossein Azizpour
Josephine Sullivan
S. Carlsson
157
4,939
0
23 Mar 2014
Maxout Networks
Ian Goodfellow
David Warde-Farley
M. Berk Mirza
Aaron Courville
Yoshua Bengio
OOD
238
2,178
0
18 Feb 2013
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
148
6,624
0
22 Dec 2012
Oracle inequalities for computationally adaptive model selection
Alekh Agarwal
Peter L. Bartlett
John C. Duchi
70
17
0
01 Aug 2012
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
447
7,661
0
03 Jul 2012
Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization
Thomas Desautels
Andreas Krause
J. W. Burdick
101
473
0
27 Jun 2012
Practical recommendations for gradient-based training of deep architectures
Yoshua Bengio
3DH
ODL
193
2,198
0
24 Jun 2012
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek
Hugo Larochelle
Ryan P. Adams
353
7,936
0
13 Jun 2012
Entropy Search for Information-Efficient Global Optimization
Philipp Hennig
Christian J. Schuler
116
673
0
06 Dec 2011
Portfolio Allocation for Bayesian Optimization
E. Brochu
Matthew W. Hoffman
Nando de Freitas
390
280
0
28 Sep 2010
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Niranjan Srinivas
Andreas Krause
Sham Kakade
Matthias Seeger
146
1,619
0
21 Dec 2009
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